{"id":"W6962023155","doi":"10.15468/dl.z5539f","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009498784,0.001820414,0.001498325,0.004740637,0.001049092,0.002643815,0.00283098,0.001996164,0.1750548],"category_scores_gemma":[0.006332183,0.0008988493,0.001190121,0.009856909,0.0004557795,0.002222562,0.002563117,0.001948982,0.2253813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712734,"about_ca_system_score_gemma":0.002529409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03091281,"about_ca_topic_score_gemma":0.04848081,"domain_scores_codex":[0.9990076,0.0001298902,0.000123191,0.0003245532,0.0002462256,0.0001684823],"domain_scores_gemma":[0.9975655,0.0006937298,0.0001991189,0.0006239822,0.0006614802,0.0002562794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002537407,0.000009923317,0.0003820045,0.0004436953,0.00001336615,0.00001449349,0.00002595307,0.0001200376,0.0001013305,0.0003820977,0.9970336,0.001448237],"study_design_scores_gemma":[0.00006398281,0.000006719139,0.001906941,0.0001953243,0.00001374531,0.00003760814,0.00009416397,0.0001656212,0.0001972378,0.0008332789,0.9964669,0.00001849672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004242697,0.00002563504,0.00005040149,0.00003942898,0.00001152636,0.000004935676,0.9987105,0.0004322973,0.0006828296],"genre_scores_gemma":[0.0001865773,0.00003392023,0.000223347,0.00004335378,0.000003307036,0.00004151758,0.9987412,0.0001846491,0.0005421207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8249452,"threshold_uncertainty_score":0.5856165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}